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android / platform / external / rappor / 0e9b976a818392dc92d61679dd8a6e806931fac2
commit0e9b976a818392dc92d61679dd8a6e806931fac2[log] [tgz]
authorAndroid Build Coastguard Worker <android-build-coastguard-worker@google.com>Thu Jul 15 01:33:08 2021 +0000
committerAndroid Build Coastguard Worker <android-build-coastguard-worker@google.com>Thu Jul 15 01:33:08 2021 +0000
tree64f402d10e4c15382a80284407bd56e01692a250
parent24abc025df68928ce97749b18521c4dbfa3faaf7 [diff]
parentd0076efcccf4b1917c2f97e8408c0951f833a929 [diff]
Snap for 7550844 from d0076efcccf4b1917c2f97e8408c0951f833a929 to mainline-os-statsd-release

Change-Id: I28bd75fcdff3eff2a4faf077fd6eda4dd87562bd
tree: 64f402d10e4c15382a80284407bd56e01692a250
  1. client/
  2. Android.bp
  3. LICENSE
  4. METADATA
  5. MODULE_LICENSE_APACHE2
  6. OWNERS
  7. README.android
  8. README.md
  9. README.version
README.md

RAPPOR

RAPPOR is a novel privacy technology that allows inferring statistics about populations while preserving the privacy of individual users.

This repository contains simulation and analysis code in Python and R.

For a detailed description of the algorithms, see the paper and links below.

Feel free to send feedback to rappor-discuss@googlegroups.com.

Publications

Links

  • Google Blog Post about RAPPOR
  • RAPPOR implementation in Chrome
    • This is a production quality C++ implementation, but it‘s somewhat tied to Chrome, and doesn’t support all privacy parameters (e.g. only a few values of p and q). On the other hand, the code in this repo is not yet production quality, but supports experimentation with different parameters and data sets. Of course, anyone is free to implement RAPPOR independently as well.
  • Mailing list: rappor-discuss@googlegroups.com